2022
Distributed Graph Neural Network Training with Periodic Historical Embedding Synchronization
Zheng Chai, Guangji Bai, Liang Zhao, Yue Cheng
arXiv
Smart OS Scheduling for Serverless Functions
Yuqi Fu, Li Liu, Haoliang Wang, Yue Cheng, Songqing Chen
SC '22 (Best Student Paper Finalist)    
FaaSNet: Scalable and Fast Provisioning of Custom Serverless Container Runtimes at Alibaba Cloud Function Compute
Ao Wang, Shuai Chang, Huangshi Tian, Hongqi Wang, Haoran Yang, Huiba Li, Rui Du, Yue Cheng
USENIX ATC '21    
talk
arXiv
Project    
Community-based Layerwise Distributed Training of Graph Convolutional Networks
Hongyi Li, Junxiang Wang, Yongchao Wang, Yue Cheng, Liang Zhao
OPT '20 (The 13th International (Virtual) OPT Workshop on Optimization for Machine Learning)    
Wukong: A Fast, Cost-Effective, and Easy-to-Use Serverless DAG Engine
Benjamin Carver
Master's Thesis    
2020
Toward Model Parallelism for Deep Neural Network based on Gradient-free ADMM Framework
Junxiang Wang, Zheng Chai, Yue Cheng, Liang Zhao
IEEE ICDM '20    
Wukong: A Scalable and Locality-Enhanced Framework for Serverless Parallel Computing
Benjamin Carver, Jingyuan Zhang, Ao Wang, Ali Anwar, Panruo Wu, Yue Cheng
ACM SoCC '20    
talk
arXiv
Project    
TiFL: A Tier-based Federated Learning System
Zheng Chai, Ahsan Ali, Syed Zawad, Stacey Truex, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Heiko Ludwig, Feng Yan, Yue Cheng
ACM HPDC '20    
arXiv
Tunable Subnetwork Splitting for Model-parallelism of Neural Network Training
Junxiang Wang, Zheng Chai, Yue Cheng, Liang Zhao
ICML WS '20    
InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache
Ao Wang, Jingyuan Zhang, Xiaolong Ma, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Vasily Tarasov, Feng Yan, Yue Cheng
USENIX FAST '20    
talk
arXiv
Project    
[Press:   IEEE Spectrum,  
Blog article]
Customizable Scale-Out Key-Value Stores
Ali Anwar, Yue Cheng, Hai Huang, Jingoo Han, Hyogi Sim, Dongyoon Lee, Fred Douglis, Ali R. Butt
Transactions on Parallel and Distributed Systems (TPDS)    
Bolt: Towards a Scalable Docker Registry
Michael Littley, Ali Anwar, Hannan Fayyaz, Zeshan Fayyaz, Vasily Tarasov, Lukas Rupprecht, Dimitrios Skourtis, Mohamed Mohamed, Heiko Ludwig, Yue Cheng, Ali R. Butt
IEEE Cloud '19    
Towards Taming the Resource and Data Heterogeneity in Federated Learning
Zheng Chai, Hannan Fayyaz, Zeshan Fayyaz, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Heiko Ludwig, Yue Cheng
USENIX OpML '19    
slides
vCPU as a Container: Towards Accurate CPU Allocation for VMs
Li Liu, Haoliang Wang, An Wang, Mengbai Xiao, Yue Cheng, Songqing Chen
ACM VEE '19    
HyperFaaS: A Truly Elastic Serverless Computing Framework
Jingyuan Zhang, Ao Wang, Min Li, Yuan Chen, Yue Cheng
USENIX NSDI '19   (poster)
MOANA: Modeling and Analyzing I/O Variability in Parallel System Experimental Design
Kirk W. Cameron, Ali Anwar, Yue Cheng, Bo Li, Li Xu, Ananth Uday, Thomas Lux, Yili Hong, Layne T. Watson, Ali R. Butt
Transactions on Parallel and Distributed Systems (TPDS)    
2018
Analyzing Alibaba's Co-located Datacenter Workloads
Yue Cheng, Ali Anwar, Xuejing Duan
IEEE BigData '18    
Characterizing Co-located Datacenter Workloads: An Alibaba Case Study
Yue Cheng, Zheng Chai, Ali Anwar
ACM APSys '18    
arXiv
Improving Docker Registry Design based on Production Workload Analysis
Ali Anwar, Mohamed Mohamed, Vasily Tarasov, Michael Littley, Lukas Rupprecht, Yue Cheng, Nannan Zhao, Dimitrios Skourtis, Amit S. Warke, Heiko Ludwig, Dean Hildebrand, Ali R. Butt
USENIX FAST '18    
Github
Traces
Chameleon: An Adaptive Wear Balancer for Flash Clusters
Nannan Zhao, Ali Anwar, Yue Cheng, Mohammed Salman, Daping Li, Jiguang Wan, Changsheng Xie, Xubin He, Feiyi Wang, Ali R. Butt
IEEE IPDPS '18    
MOANA: Modeling and Analyzing I/O Variability in Parallel System Experimental Design
Kirk W. Cameron, Ali Anwar, Yue Cheng, Bo Li, Li Xu, Ananth Uday, Thomas Lux, Yili Hong, Layne T. Watson, Ali R. Butt
VT CS Technical Report    
SDN helps Big Data to optimize storage
Ali R. Butt, Ali Anwar, Yue Cheng
Book Chapter, Big Data and Software Defined Networks, editor: Javid Taheri. IET, ISBN 978-1-78561-304-3. 2018    
2017
Workload-aware Efficient Storage Systems
Yue Cheng, Ph.D. dissertation, 06/22/2017.
2016
Erasing Belady's Limitations: In Search of Flash Cache Offline Optimality
Yue Cheng, Fred Douglis, Philip Shilane, Michael Trachtman, Grant Wallace, Peter Desnoyers, Kai Li
USENIX ATC '16    
audio
poster
ClusterOn: Building Highly Configurable and Reusable Clustered Data Services using Simple Data Nodes
Ali Anwar, Yue Cheng, Hai Huang, Ali R. Butt
USENIX HotStorage '16    
MOS: Workload-aware Elasticity for Cloud Object Stores
Ali Anwar, Yue Cheng, Aayush Gupta, Ali R. Butt
ACM HPDC '16    
Towards Managing Variability in the Cloud
Ali Anwar, Yue Cheng, Ali R. Butt
IEEE VarSys '16    
Provider versus Tenant Pricing Games for Hybrid Object Stores in the Cloud
Yue Cheng, M. Safdar Iqbal, Aayush Gupta, Ali R. Butt
IEEE Internet Computing (Special issue: May/June 2016 - Cloud Storage)    
2015
Taming the Cloud Object Storage with MOS
Ali Anwar, Yue Cheng, Aayush Gupta, Ali R. Butt
ACM PDSW '15    
Pricing Games for Hybrid Object Stores in the Cloud: Provider vs. Tenant
Yue Cheng, M. Safdar Iqbal, Aayush Gupta, Ali R. Butt
USENIX HotCloud '15    
talk
CAST: Tiering Storage for Data Analytics in the Cloud
Yue Cheng, M. Safdar Iqbal, Aayush Gupta, Ali R. Butt
ACM HPDC '15    
slides
2013
High Performance In-Memory Caching through Flexible Fine-Grained Services
Yue Cheng, Aayush Gupta, Ali R. Butt
ACM SoCC '13   (poster)
poster